NEC PC-VKT40CZG9
Geekbench AI Score
1016
Single Precision Score
516
Half Precision Score
2278
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | hisyho |
| Upload Date | January 27 2026 10:54 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1130G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | NEC PC-VKT40CZG9 |
| Motherboard | NEC V-VC211 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1130G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
933
173.5 IPS |
|
|
Image Classification (HP)
|
100% |
245
45.5 IPS |
|
|
Image Classification (Q)
|
99% |
1588
296.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
433
7.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
317
5.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
1953
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1244
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
897
1.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
4419
5.18 IPS |
|
|
Object Detection (SP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (HP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (Q)
|
86% |
1739
139.8 IPS |
|
|
Face Detection (SP)
|
100% |
1696
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
548
6.51 IPS |
|
|
Face Detection (Q)
|
97% |
3089
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1626
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
691
5.33 IPS |
|
|
Depth Estimation (Q)
|
78% |
4054
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2893
3.72 IPS |
|
|
Style Transfer (HP)
|
100% |
2351
3.02 IPS |
|
|
Style Transfer (Q)
|
98% |
6903
8.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
726
26.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
578
21.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2098
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
749
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
394
526.2 IPS |
|
|
Text Classification (Q)
|
97% |
691
926.3 IPS |
|
|
Machine Translation (SP)
|
100% |
918
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.54 IPS |
|
|
Machine Translation (Q)
|
65% |
1261
25.3 IPS |
